عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
Qualification
(eISBN)
(Number (ISBN
9789811283628
NATIONAL BIBLIOGRAPHY NUMBER
Number
E4560
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Analysis and visualization of discrete data using neural networks
General Material Designation
[electronic resources: book]
First Statement of Responsibility
Koji Koyamada.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Hackensack, NJ
Name of Publisher, Distributor, etc.
World Scientific
Date of Publication, Distribution, etc.
2024.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 217-219) and index.
CONTENTS NOTE
Text of Note
Basic -- Practical part -- Advanced application section -- Physically based surrogate model -- Closing remark.
0
SUMMARY OR ABSTRACT
Text of Note
"This book serves as a comprehensive step-by-step guide on data analysis and statistical analysis. It covers fundamental operations in Excel, such as table components, formula bar, and ribbon, and introduces visualization techniques and PDE derivation using Excel. It also provides an overview of Google Colab, including code and text cells, and explores visualization and deep learning applications. Key features of the book include topics like statistical analysis, regression analysis, optimization, correlation analysis, and neural networks. It adopts a practical approach by providing examples and step-by-step instructions for learners to apply the techniques to real-world problems. The book also highlights the strengths and features of both Excel and Google Colab, allowing learners to leverage the capabilities of each platform. The clear explanations of concepts, visual aids, and code snippets aid comprehension help learners understand the principles of data analysis and statistical analysis. Overall, this book serves as a valuable resource for professionals, researchers, and students seeking to develop skills in data analysis, regression statistics, optimization, and advanced modeling techniques using Excel, Colab, and neural networks"--
TYPE OF ELECTRONIC RESOURCE NOTE
Text of Note
PDF file.
TOPICAL NAME USED AS SUBJECT
Entry Element
Data mining.
Entry Element
Information visualization
Entry Element
Neural networks (Computer science)
Topical Subdivision
Data processing.
DEWEY DECIMAL CLASSIFICATION
Edition
23/eng/20231222
PERSONAL NAME - PRIMARY RESPONSIBILITY
Koyamada, Koji.
ORIGINATING SOURCE
Country
Iran
Agency
University of Tehran. Library of College of Science
Date of Transaction
20240626140315.0
Cataloguing Rules (Descriptive Conventions))
rda
ELECTRONIC LOCATION AND ACCESS
Date and Hour of Consultation and Access
UT_SCI_BL_DB_1004982_0002.pdf
e
BL
278840
a
Y
